Non-Rectangular Prediction Regions in Video Coding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The next-generation Versatile Video Coding (VVC) standard faces higher computational complexity and increased bit-rate compared to its predecessor, HEVC, while aiming to improve visual quality and maintain low bit-rate, especially for ultra-high-definition and high-frame-rate videos.
Innovation Solution
The method involves partitioning coding blocks into non-rectangular prediction regions, processing residual signals to minimize pixel value inconsistencies along borders, and using adaptive filtering techniques based on coding block characteristics such as size, shape, and distance from borders, to enhance prediction accuracy and reduce bitstream size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-rectangular prediction regions are used to improve prediction accuracy, then visual quality improves, but computational complexity increases
Solution Approach 1:
The coding block is divided into multiple non-rectangular prediction regions with different prediction modes, allowing each region to be optimized independently for better prediction accuracy while managing complexity through structured segmentation
Solution Approach 2:
Different prediction processing techniques are applied to different regions within the coding block based on local characteristics, enabling optimized prediction accuracy in each region while avoiding uniform complex processing across the entire block
2Measurement precision
If complex adaptive processing is applied to minimize pixel inconsistencies, then visual quality improves, but bit-rate increases
Solution Approach 1:
Processing parameters such as filter strength and processing range are adaptively adjusted based on coding block characteristics, enabling effective pixel inconsistency minimization while avoiding excessive processing that would increase bit-rate
3Manufacturing precision
If extensive pixel processing is performed on residual signals, then prediction error reduces, but computational complexity increases
Solution Approach 1:
Pixel processing is selectively applied only to specific regions and pixels within the residual signal that benefit most from processing, avoiding unnecessary computation on already-accurate regions while still reducing prediction errors where needed
Data Source
AI summary
Systems and methods are described herein for processing video. A coding block of a plurality of coding blocks that are part of a video frame may be partitioned into non-rectangular prediction regions. Prediction areas may be determined based on one or more predetermined criteria that correspond to the non-rectangular prediction regions. Residual signals comprising a difference between the prediction areas and non-rectangular prediction regions may be determined. One or more pixels in the residual signals may be processed to generate processed residual signals. The processing may be based on at least one characteristic of the coding block and configured to minimize inconsistencies of pixel values along a border between the processed residual signals. The coding block comprising the processed residual signals may be encoded for transmission in a bitstream.